Target Xpoze Therapeutics

Making hidden cancer cells targetable

An AI-enabled precision-oncology company developing target-restoration therapeutics for hidden, therapy-resistant cancer cells that escape current targeted treatments.

The Resistance Barrier

Why traditional therapies fail

More than 90% of solid-tumor mortality is driven by metastasis and disease relapse, both originating from minimal residual disease: small populations of therapy-resistant cancer cells that survive treatment by hiding their therapeutic targets from the cell surface. Even with today's most advanced HER2-targeted antibody-drug conjugates, roughly half of HER2-positive breast cancer patients still relapse within five years.

Abstract illustration of a therapy-resistant cancer cell
Abstract illustration of a therapy-resistant cancer cell
Extreme close-up macro photography of a structural biology protein model, laser-cyan light accents, dark slate background, high-contrast scientific rendering
Extreme close-up macro photography of a structural biology protein model, laser-cyan light accents, dark slate background, high-contrast scientific rendering
Target Restoration

Programmable computational oncology

Target Xpoze restores therapeutic visibility, allowing existing FDA-approved therapies to reach cancer cells they currently miss. Mechanism and molecular composition are proprietary and disclosed only under NDA.

Proof Points

Validated Foundation

External validation — Supported by competitive, non-dilutive research funding and independent peer review.

In vitro validation — Demonstrated restoration of therapeutic target accessibility on resistant cancer cells in laboratory models.

In vivo validation — Preclinical models show delayed tumor progression when the approach is applied.

Patient-derived validation — Confirmed in samples from patients with treatment-resistant disease.

In silico validation — AI-guided computational design supports candidate identification and prioritization.

Abstract molecular structure representing precision-oncology research
Abstract molecular structure representing precision-oncology research
Scientific Leadership

Pioneering computational oncology

Dr. Heda Hosseini

Dr. Amir Feizi

Biomedical scientist with expertise in cancer biology and precision oncology. Co-founder and CEO/CSO of Target Xpoze Therapeutics.

Computational biologist and AI engineer specialising in multi-omics integration and machine learning for drug target discovery. Co-founder and CTO.

Partnering Inquiries

Partnering and investor inquiries

We welcome inquiries from investors, accelerator programs, healthcare partners, and pharmaceutical business-development teams. Confidential scientific and technical materials are available only under NDA.